Joan Masó, Ivette Serral and Xavier Pons
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GeoViQua: a FP7 scientific project GeoViQua: a FP7 scientific project to promote spatial data quality to promote spatial data quality usability: usability: metadata, search and visualization metadata, search and visualization Joan Masó, Ivette Serral and Xavier Pons Center of Research in Ecology and Forestry Applications (CREAF and UAB) [email protected] and [email protected] October 12th, 2011
description
GeoViQua: a FP7 scientific project to promote spatial data quality usability: metadata, search and visualization. Joan Masó, Ivette Serral and Xavier Pons Center of Research in Ecology and Forestry Applications (CREAF and UAB) [email protected] and [email protected] October 12th, 2011. - PowerPoint PPT Presentation
Transcript of Joan Masó, Ivette Serral and Xavier Pons
GeoViQua: a FP7 scientific project GeoViQua: a FP7 scientific project to promote spatial data quality usability: to promote spatial data quality usability:
metadata, search and visualizationmetadata, search and visualization
Joan Masó, Ivette Serral and Xavier PonsCenter of Research in Ecology and Forestry Applications (CREAF and UAB)
[email protected] and [email protected] 12th, 2011
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The context
• GEOSS is the Global Earth Observation System of Systems
– Links existing and planned observing systems around the world
– Supports the development of new systems where gaps currently exist
– Promotes common technical standards and interoperability
• GEOSS common infrastructure (GCI)– Allows accessing, searching and using the data,
information, tools and services• The GEO Portal
• The Components and Services Registry
• The GEOSS Clearinghouse
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Registered Community Resources
Community Portals
Client Applications
Client Tier
Business Process Tier
CommunityCatalogues
AlertServers
WorkflowManagement
ProcessingServers
Access Tier
GEONETCastProduct Access
ServersSensor Web
ServersModel Access
Servers
GEOSSClearinghouse
GEO Web Portals
GEOSS Common Infrastructure
Components & Services
Standards andInteroperability
Best PracticesWiki
User Requirements
Registries
Main GEOWeb Site
GEOSS common infrastructure
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Before GEOSS
Access Tier
GEONETCast
Product AccessServers
Sensor WebServers
Model AccessServers
Business Process Tier
CommunityCatalogues
Community Resource
User
SBA
Disasters
Health
Energy
Climate
Water
Weather
Ecosystems
Agriculture
Biodiversity
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GEOSS Common Infrastructure
How GEOSS works today
Access Tier
GEONETCast
Product AccessServers
Sensor WebServers
Model AccessServers
Business Process Tier
CommunityCatalogues
Community Resource
User
SBA
Disasters
Health
Energy
Climate
Water
Weather
Ecosystems
Agriculture
Biodiversity
Components & Services
Registry
GEO Web Portal
GEOSSClearinghouse
Catalogue
DB
Standards andInteroperability
Registry
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GEOSS Strategic Targets Data Management
Before 2015, GEOSS aims to:
2. Provide a shared, easily accessible, timely, sustained stream of comprehensive data of documented quality, as well as metadata and information products, for informed decision making.
This will be achieved through:
Development of best practices, identified in the appropriate GCI registry, for observation, collection and access to data and information, including best practices for data quality assurance for both observing system data and information products
http://www.earthobservations.org/documents/geo_vi/12_GEOSS Strategic Targets Rev1.pdf
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Quality assurance framework QA4EO
• This framework consists of a set of operational guidelines derived from “best practices” for implementation by the community. These guidelines have been collated into three theme areas:– Data Quality,
– Data Policy and
– Communication & Education
• Each theme has an overarching “guiding principle” towards achieving interoperability.
• Next meeting: - 20th October 2011. Hosted by Rutherford Appleton Laboratory (RAL) in Harwel, Oxfordshire, UK.
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GeoViQua (265178)
FP7 Collaborative ProjectEnvironment
10 partners with CREAF coordinating
Duration: 36 months1 February 2011 – 31 January
2014
Budget: 4.024.256,42 €EC Contribution: 3.266.803,98 €
QUAlity aware
VIsualisation for the
Global Earth Observation
system of systems
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International producerSmall or Medium Enterprises
Research centersUniversities
The team
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The problem
• Is there quality information in the GCI?– There is some in the form of ISO19115 DQ elements and lineage– Not enough
• GEOSS GCI does not follow a global model for quality
• GEOPortal search and results – are not ranged by quality– quality indicators are not shown
• Common data viewers do not generally include quality information in parallel with the data
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The aim
GeoViQua will provide a set of scientifically developed software components and services that facilitate the creation, search and visualization of quality information on EO data integrated and validated in the GEOSS Common Infrastructure.
Pilot case studies
CC RR OO SS SS
SS BB AA
Communitybuilding
GEO S&T Label
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GEOSS Common Infrastructure
How GEOSS works today
Access Tier
GEONETCast
Product AccessServers
Sensor WebServers
Model AccessServers
Business Process Tier
CommunityCatalogues
Community Resource
User
SBA
Disasters
Health
Energy
Climate
Water
Weather
Ecosystems
Agriculture
Biodiversity
Components & Services
Registry
GEO Web Portal
GEOSSClearinghouse
Catalogue
DB
Standards andInteroperability
Registry
GEO Label
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• Enhanced geo-search tools– Quality-aware catalogue service – Quality-aware catalogue client
• Quality aware visualisation components– Integrate of quality information – Show the quality information
• Not only for GEOPortal and GCI. – Generic quality methodologies for GIS and RS– Components for map browsers, virtual globes, GIS and RS
From GEOSS-Centrism to User-Centrism
Delivery of solutions to end users
Dissemination and Capacity Building
Data quality elicitation mechanism
Enhanced geo-search
tools
Quality aware visualisation
tools
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Pilot cases scenarios
GEO Label
Search & Visualization components
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Time table
Start PrototypesValidation
Mobile Solutions
Search & Visualization
Data ready
Quality recommendations
Testing
solutionsPilot cases
User & technical requirements to CoP
User & technical solutions to CoP
Workshops
Proposals evaluation Final documentGeoLabel
Metadata extraction
Best practices quality encoding
Direct extraction from continuous variables
Quality elicitation User feedbackExtraction from categorical variables
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Data quality model
• Types of uncertainty in four models of the geographic space
• Typology of uncertainty of geospatial information
MacEachren AM, A Robinson, S Hopper, S Gardner, R Murray, M Gahegan, E Hetzler (2005) Visualizing Geospatial Information Uncertainty; What We Know and What We Need to Know
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ESDIN approach to quality (Antti Jakobsson)
scope
scope
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Including data quality in search
• SELECT WHERE positional_accuracy < 20 and classification_correctness > 90%FROM GEOSS_GCI
Devillers R, Bédard Y, R Jeansoulin (2005) Multidimensional Management of Geospatial Data Quality Information for its Dynamic Use Within GIS
Enhanced geo-search
tools
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Quality visualization
Buttenfield, B. P., and R. Weibel. 1988. Visualizing the quality of cartographic data. Presented at Third International Geographic Information Systems Symposium (GIS/LIS 88), San Antonio, Texas.
Quality aware visualisation
tools
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Quality map visualization
• Dark color represents poor quality and light color good quality
• Quality Dashboard
• In tables with different levels of detail
Blackmond Laskey K, EJ. Wright PCG da Costa (2009) Envisioning uncertainty in geospatial information
Devillers R, Bédard Y, R Jeansoulin (2005) Multidimensional Management of Geospatial Data Quality Information for its Dynamic Use Within GIS
Quality aware visualisation
tools
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Quality map visualization
• Symbols with poor clarity for poor quality
• Noise in the overlaid gridlines poor quality
• Overlaid quadtree grid where smaller rectangles indicates less uncertainty (good quality)
Griethe H, H Schumann (2006) The Visualization of Uncertain Data Methods and Problems
MacEachren AM, A Robinson, S Hopper, S Gardner, R Murray, M Gahegan, E Hetzler (2005) Visualizing Geospatial Information Uncertainty; What We Know and What We Need to Know
Quality aware visualisation
tools
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Quality map visualization
• 3D representations– representation of
estimated water balance surplus/deficit and their uncertainty (using bars above and below the surface).
• Main problems– Makes visualization more
complicated and difficult to understand
– Attracting the attention to the more uncertain objects!!
MacEachren AM, A Robinson, S Hopper, S Gardner, R Murray, M Gahegan, E Hetzler (2005) Visualizing Geospatial Information Uncertainty; What We Know and What We Need to Know
Pang A (2001) Visualizing Uncertainty in Geo-spatial Data
Quality aware visualisation
tools
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• What is it?– The GEO Label is intended to “assist the user to assess the scientific relevance,
quality, acceptance and societal needs of the components” (ST-09-02 Task Team, 2010).
• Purposes?– be a quality indicator for GEOSS geospatial data and datasets
• Problem: Usability depends on data application; there is no defined threshold.
– improve user recognition and trust in validated datasets. • Problem: who is going to certify this?
– assist in searching by providing users with visual clues of dataset quality and relevance.
– provide accreditation, provenance, monitoring– increase visibility of EO data– Emphasize in open access and easy availability
• Possible shape?– Certification label– A formal way to present
• quality indicators• provenance• attribution
GEOLabelGEO Label
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• GEOLabel questionnaire– Starting in the next GEO Plenary in November 2011. Istanbul.– Publicly available in the web for 3 weeks– We encourage you to participate!
GEOLabelGEO Label
http://twiki.geoviqua.org/twiki/bin/view/GeoViQua/GeoViQuaWorkshops
Any final suggestions for requirements in the project?
Thanks
[email protected](CREAF)
